Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Amar Shrestha"'
Publikováno v:
IEEE Circuits and Systems Magazine. 22:6-35
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d96437c3b57682b61fa27886205e6d0
https://doi.org/10.1109/mcas.2022.3166331
https://doi.org/10.1109/mcas.2022.3166331
Publikováno v:
Journal of College of Medical Sciences-Nepal. 15:202-205
Background: Salivary gland tumors represent a different variety of histological types. The definite diagnosis of type of salivary gland tumor is required for proper treatment planning. The aim of this study was to evaluate the pattern of salivary gla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c82b53daeb4eb972f3068134aa4625d
https://doi.org/10.3126/jcmsn.v15i3.23809
https://doi.org/10.3126/jcmsn.v15i3.23809
Autor:
Qinru Qiu, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Amar Shrestha, Adam Moody, Brian Van Essen
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 8:782-795
Due to the distributed and asynchronous nature of neural computation through low-energy spikes, brain-inspired hardware systems offer high energy efficiency and massive parallelism. One such platform is the IBM TrueNorth neurosynaptic system. Recentl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f32955f31c0febf5eda63226349593ba
https://doi.org/10.1109/jetcas.2018.2856117
https://doi.org/10.1109/jetcas.2018.2856117
Publikováno v:
DAC
Although widely used in machine learning, backpropagation cannot directly be applied to SNN training and is not feasible on a neuromorphic processor that emulates biological neuron and synapses. This work presents a spike-based backpropagation algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57b2fcbad553d0a3bd34c76874dea012
http://arxiv.org/abs/2105.03649
http://arxiv.org/abs/2105.03649
Publikováno v:
ISCAS
Spike-timing-dependent plasticity (STDP) is emerging as a simple and biologically-plausible approach to learning, and specialized digital implementations are readily available. Memristor technology has been embraced as a much denser solution than dig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da60af3d673db7dd612c73b352ad5ba1
https://doi.org/10.1109/iscas51556.2021.9401644
https://doi.org/10.1109/iscas51556.2021.9401644
Publikováno v:
ICPR
Grounding free-form textual queries necessitates an understanding of these textual phrases and its relation to the visual cues to reliably reason about the described locations. Spatial attention networks are known to learn this relationship and focus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::105b81e26438128becdc3a3b1f4e56e5
https://doi.org/10.1109/icpr48806.2021.9412473
https://doi.org/10.1109/icpr48806.2021.9412473
Publikováno v:
IJCAI
The recently discovered spatial-temporal information processing capability of bio-inspired Spiking neural networks (SNN) has enabled some interesting models and applications. However designing large-scale and high-performance model is yet a challenge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::901100da599cf54681eca09b643c3b1f
https://doi.org/10.24963/ijcai.2020/388
https://doi.org/10.24963/ijcai.2020/388
Publikováno v:
IJCNN
There is an increasing demand to process streams of temporal data in energy-limited scenarios such as embedded devices, driven by the advancement and expansion of Internet of Things (IoT) and Cyber-Physical Systems (CPS). Spiking neural network has d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::693ff0c24fa61c6a0aedde8a010de063
Publikováno v:
ICCAD
Driven by the expanse of Internet of Things (IoT) and Cyber-Physical Systems (CPS), there is an increasing demand to process streams of temporal data on embedded devices with limited energy and power resources. Among all potential solutions, neuromor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::350ee9b67d78b1456e1899339a2e3df0
https://doi.org/10.1109/iccad45719.2019.8942083
https://doi.org/10.1109/iccad45719.2019.8942083
Publikováno v:
IJCNN
Bio-inspired neuromorphic hardware is a research direction to approach brain's computational power and energy efficiency. Spiking neural networks (SNN) encode information as sparsely distributed spike trains and employ spike-timing-dependent plastici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0ad9d9b5817552002b62eb7c916f58c